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This work proposes a Linear-Time-Invariance (LTI) notion to the Koopman analysis, finding an invariant subspace on which Koopman modes are consistent and physically meaningful. It also develops the Koopman-LTI architecture -- a systematic…

This serial work presents a Linear-Time-Invariance (LTI) notion to the Koopman analysis, finding consistent and physically meaningful Koopman modes and addressing a long-standing problem of fluid-structure interactions: deterministically…

We propose a novel framework for learning linear time-invariant (LTI) models for a class of continuous-time non-autonomous nonlinear dynamics based on a representation of Koopman operators. In general, the operator is infinite-dimensional…

系统与控制 · 电气工程与系统科学 2022-05-24 Petar Bevanda , Max Beier , Shahab Heshmati-Alamdari , Stefan Sosnowski , Sandra Hirche

The Koopman framework proposes a linear representation of finite-dimensional nonlinear systems through a generally infinite-dimensional globally linear embedding. Originally, the Koopman formalism has been derived for autonomous systems. In…

系统与控制 · 电气工程与系统科学 2025-07-15 Lucian Cristian Iacob , Roland Tóth , Maarten Schoukens

A popular technique used to obtain linear representations of nonlinear systems is the so-called Koopman approach, where the nonlinear dynamics are lifted to a (possibly infinite dimensional) linear space through nonlinear functions called…

系统与控制 · 电气工程与系统科学 2023-12-18 Lucian Cristian Iacob , Roland Tóth , Maarten Schoukens

Koopman operator theory yields powerful tools for modeling, analysis, and control of nonlinear dynamical systems. Prominently, linear time-invariant (LTI) Koopman representations have been proposed to enable the application of linear…

最优化与控制 · 数学 2026-05-29 Johannes Heeg , Karl Worthmann

Linear time-translation-invariant (LTI) models offer simple, yet powerful, abstractions of complex classical dynamical systems. Quantum versions of such models have so far relied on assumptions of Markovianity or an internal state-space…

量子物理 · 物理学 2024-10-16 Jacques Ding , Hudson A. Loughlin , Vivishek Sudhir

Time-dependent structural reliability analysis of nonlinear dynamical systems is non-trivial; subsequently, scope of most of the structural reliability analysis methods is limited to time-independent reliability analysis only. In this work,…

机器学习 · 统计学 2024-09-21 Navaneeth N. , Souvik Chakraborty

This paper proposes a novel formulation of frequency response for nonlinear systems in the Koopman operator framework. This framework is a promising direction for the analysis and synthesis of systems with nonlinear dynamics based on…

系统与控制 · 电气工程与系统科学 2026-04-08 Yoshihiko Susuki , Natsuki Katayama , Alexandre Mauroy , Igor Mezić

The Koopman operator has emerged as a powerful tool for the analysis of nonlinear dynamical systems as it provides coordinate transformations to globally linearize the dynamics. While recent deep learning approaches have been useful in…

动力系统 · 数学 2020-06-23 Shaowu Pan , Karthik Duraisamy

A theoretic framework for dynamics is obtained by transferring dynamics from state space to its dual space. As a result, the linear structure where dynamics are analytically decomposed to subcomponents and invariant subspaces decomposition…

流体动力学 · 物理学 2020-07-03 Wei Zhang , Mingjun Wei

The coupling interactions between deformable structures and unsteady fluid flows occur across a wide range of spatial and temporal scales in many engineering applications. These fluid-structure interactions (FSI) pose significant challenges…

流体动力学 · 物理学 2023-12-04 Aditya G. Nair , Samuel B. Douglass , Nitish Arya

We propose a novel fluid-structure interaction (FSI) scheme using the entropic multi-relaxation time lattice Boltzmann (KBC) model for the fluid domain in combination with a nonlinear finite element solver for the structural part. We show…

流体动力学 · 物理学 2018-02-28 Benedikt Dorschner , Shyam S. Chikatamarla , Ilya V. Karlin

We present a new model and a novel loosely coupled partitioned numerical scheme modeling fluid-structure interaction (FSI) in blood flow allowing non-zero longitudinal displacement. Arterial walls are modeled by a {linearly viscoelastic,…

数值分析 · 数学 2015-06-05 Martina Bukac , Suncica Canic , Roland Glowinski , Josip Tambaca , Annalisa Quaini

Within the framework of density functional theory, the inclusion of exact exchange and non-local van der Waals/dispersion (vdW) interactions is crucial for predicting a microscopic structure of ambient liquid water that quantitatively…

软凝聚态物质 · 物理学 2015-10-12 Biswajit Santra , Robert A. DiStasio , Fausto Martelli , Roberto Car

We consider a linearized compressible flow structure interaction (FSI) PDE model with a view of analyzing the stability properties of both the compressible flow and plate solution components. In our earlier work, we gave an answer in the…

偏微分方程分析 · 数学 2020-12-30 Pelin Guven Geredeli

A Koopman decomposition is a powerful method of analysis for fluid flows leading to an apparently linear description of nonlinear dynamics in which the flow is expressed as a superposition of fixed spatial structures with exponential time…

流体动力学 · 物理学 2019-09-25 Jacob Page , Rich R. Kerswell

We present a monolithic approach to large-deformation fluid-structure interaction (FSI) problems that allows for choosing fully implicit, single-step and single-stage time integration schemes in the structure and fluid field independently,…

数值分析 · 数学 2023-08-25 Matthias Mayr , Thomas Klöppel , Wolfgang A. Wall , Michael W. Gee

This paper revisits the definition of linear time-invariant (LTI) stochastic process within a behavioral systems framework. Building on [Willems, 2013], we derive a canonical representation of an LTI stochastic process and a physically…

系统与控制 · 计算机科学 2017-04-10 Giacomo Baggio , Rodolphe Sepulchre

In this paper we use a fluid-structure interaction (FSI) approach to simulate a Coriolis mass flowmeter (CMF). The fluid dynamics are calculated by the open source framework OpenLB, based on the lattice Boltzmann method (LBM). For the…

计算物理 · 物理学 2020-05-11 Marc Haussmann , Peter Reinshaus , Stephan Simonis , Hermann Nirschl , Mathias J. Krause
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